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The stochastic resonance algorithm with the direct current signal as external force and its application to the detection of weak chromatographic peaks
Author(s) -
Li Rui,
Xiang Bingren,
Deng Haishan,
Xie Shaofei
Publication year - 2017
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201700404
Subject(s) - signal (programming language) , algorithm , basis (linear algebra) , current (fluid) , set (abstract data type) , stochastic resonance , resonance (particle physics) , counterintuitive , constant (computer programming) , computer science , biological system , mathematics , physics , noise (video) , artificial intelligence , thermodynamics , atomic physics , geometry , quantum mechanics , image (mathematics) , programming language , biology
As a potential tool for amplifying weak chromatographic peaks, the stochastic resonance algorithm was developed based upon a counterintuitive physical phenomenon. Therefore, the essential step, parameter optimization, was perplexing and difficult for analysts. In order to avoid optimizing the system parameters on a case‐by‐case basis, an improved algorithm was proposed by introducing a constant or direct current signal into the signal to be measured as the external force. The weak chromatographic peak can be amplified and detected by the new algorithm using the same set of parameters. Two sets of our previous experimental data were reanalyzed by using the developed algorithm and the results were satisfactory. A generalized solution was expected to come into being on account of the new algorithm.